CN107085721A - A kind of intelligence based on Identification of Images patrols class management system - Google Patents
A kind of intelligence based on Identification of Images patrols class management system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/174—Facial expression recognition
Abstract
A kind of intelligence based on Identification of Images patrols class management system, including：Class management Cloud Server, the instructional video for storing real-time recording are patrolled, and type of teaching and quality of instruction are analyzed according to instructional video and evaluation is made；Teacher's terminal, process and open evaluation port are recorded for starting course；Student terminal, for when teacher's open-destination evaluates port, being fed back to teachers' instruction, generating feedback information；Multiple audio-video capture devices in classroom are arranged at, for locating and tracking and the audio-video signal of teacher are gathered and collection is attended class the audio-video signal of student；It is arranged at the audio frequency and video processing unit in classroom, it includes being used for the face-image for recognizing teacher and monitors student being absorbed in the Identification of Images module of degree and by the audio-video signal frequency division multiplexing received from audio-video capture devices and carry feedback information to obtain modulated data signal, and the modulated data signal is sent to the audio frequency and video module for patrolling class and managing Cloud Server.
Description
Technical field
The present invention relates to classroom intelligent management technical field, class pipe is patrolled more particularly, to a kind of intelligence based on Identification of Images
Reason system.
Background technology
With the cry more and more higher of quality-oriented education, the Classroom Teaching of conventional " spoon-feed " is eliminated already.With
Mobile technology of Internet of things development with rapid changepl. never-ending changes and improvements, the paces of IT application in education sector are constantly accelerated, the multimedia classroom of modernization, no longer
It is traditional exam-oriented education pattern, classroom interaction seems more and more important.In order to give the external pressure that teacher is certain, draw
Lead teacher and implement the teaching routine for checking efficient classroom, the class that patrols being used is recorded as classroom observing and has become intelligent classroom
Important component, starts theoretical research Process Character classroom teaching appraisal, to cause Classroom Teaching to be protected both at home and abroad
Card.In the U.S., the pedagogue for putting into practice and studying " teacher patrols class " mainly has the Te Lun (Vivian of Brandeis University
Troen) and Clark University PLATE (Thomas Del Prete), Te Lun is pointed out, " teacher patrols class " is with reference to medical science
" made a round of visits jointly " in education (doing rounds) this method.During " making a round of visits jointly ", intern and guidance are cured
It is raw to check inpatient together, the various situations of patient are observed, all observed by them are then analyzed jointly, and draft can
The therapeutic scheme of energy, " teacher patrols class " is also in this way, outside teacher and the student that listens to the teacher, there is the opposing party and carry out classroom sight
Examine and evaluate.However, current Process Character classroom teaching appraisal research, the behavioral study and after class of teacher side is primarily focused on
Teaching quality evaluation, still, the fraction achievement that such teaching quality evaluation has been abandoned in the past by student are (interior to giving lessons with student
Hold to digest and assimilate degree related) as evaluation meanses, live especially teacher's behaviors account for leading period, teacher at school
Every student can not be fully understanded in time to the interest level of course content and acceptance level is understood, it is impossible to according to student in class
The emotional change that hall scene is shown to the mode of giving lessons so as to suitably be adjusted.Either scene patrols class and still patrols class after class,
Current class system of patrolling can only play a part of supervision, punishment, post-project evaluating, and scene feedback can not be met and instruct it is higher
It is required that.There are a variety of deficiencies in various traditional class assessment indicator systems of patrolling, how to build high efficiency smart patrols class management system, is
The technical problem of current urgent need to resolve.
The content of the invention
The present invention is directed to above-mentioned the deficiencies in the prior art, it is proposed that a kind of intelligence based on Identification of Images patrols class management system
System.Student can be carried out by using SVMs (SVM) and journey is received to the interest level of course content and understanding
The identification of degree, so as to effectively obtain feedback of the student to teaching method, is conducive to improving whole learning quality.
Class management system is patrolled there is provided the intelligence based on Identification of Images according to the first aspect of the invention, the intelligence is patrolled
Class management system includes：Class management Cloud Server is patrolled, the teaching for patrolling class management Cloud Server for storing real-time recording is regarded
Frequently, and type of teaching and quality of instruction are analyzed according to the instructional video and makes evaluation；Teacher's terminal, the teacher
Terminal is used to start course recording process and open evaluation port；Student terminal, the student terminal is used for whole in the teacher
When end opens the evaluation port, teachers' instruction is fed back, feedback information is generated；It is arranged at multiple audio frequency and video in classroom
At least one audio frequency and video for being used for locating and tracking and gathering teacher in acquisition device, the multiple audio-video capture devices
At least another audio-video signal for being used to gather the student that attends class in signal, the multiple audio-video capture devices；It is arranged at
Audio frequency and video processing unit in classroom, the audio frequency and video processing unit includes Identification of Images module and audio frequency and video module, the people
As identification module is used to recognize the face-image of teacher and monitors the absorbed degree of student；The audio frequency and video module will be regarded from the sound
Audio-video signal frequency division multiplexing that frequency acquisition device is received simultaneously carries the feedback information to obtain modulated data signal,
And by the modulated data signal send to it is described patrol class management Cloud Server.
The intelligence based on Identification of Images according to the second aspect of the invention patrols class management system, wherein, the audio frequency and video
Module calculates the power within a sampling period respectively to the various words and deeds crawler behaviors of teacher in the audio-video signal that receives
Weight values UiIf within the sampling period there is certain words and deeds crawler behavior more than scheduled duration threshold value, U in teacheri=1, otherwise
Ui=0, i are the natural number more than 1；Wherein, the audio frequency and video module is to the various speeches of the audio-video signal middle school student received
Row crawler behavior calculates the weighted value V within a sampling period respectivelyjIf student says in the presence of certain within the sampling period
Row crawler behavior exceedes scheduled duration threshold value, then Vj=1, otherwise Vj=0, j are the natural number more than 1；Wherein, the audio frequency and video
Module calculates the teacher's behaviors saturation degree P in courseuWith students ' behavior saturation degree Pv, wherein Pu=∑ Ui/ N, Pv=∑ Vj/ N, N
For the sampling sum within the sampling period, ∑ UiFor the U in the courseiSummation, ∑ VjFor the V in the coursejSummation；
Teaching quality evaluation value D is calculated, wherein,
A, B, C and E are regulation coefficient, and the feedback information includes feedback score Fk, K is the natural number more than 1, and F is anti-
Present fraction FkAverage value, F=∑s Fk/ N, F1For first threshold, F2For Second Threshold；It is described to patrol class management cloud after End-of-Course
Server is based on teacher's behaviors saturation degree Pu, students ' behavior saturation degree PvType of teaching is drawn with teaching quality evaluation value D
Point, and evaluation is made to quality of instruction.
The intelligence based on Identification of Images according to the third aspect of the invention we patrols class management system, wherein, the teacher's
Various words and deeds crawler behaviors include：Teaching behavior, enquirement are with answer behavior, writing on the blackboard behavior, multimedia with behavior or tour row
For；Wherein, the various words and deeds crawler behaviors of the student include：Pay attention to the class behavior, answer and enquirement behavior, discuss the behavior that exchanges,
Written note taking behavior or answer or the classroom activities against discipline.
The intelligence based on Identification of Images according to the fourth aspect of the invention patrols class management system, wherein, the teaching class
Type includes：Lecture leading type, exercise leading type, interaction leading type.
The intelligence based on Identification of Images according to the fifth aspect of the invention patrols class management system, wherein, the audio frequency and video
Acquisition device obtains the image of student, and the Identification of Images module goes out from the image recognition of student is not absorbed in behavior, and the sound is regarded
Frequency module is counted to the time span for not being absorbed in behavior identified, and calculates the absorbed degree G=T of studentN/ T,
TNNot to be absorbed in the total length of time of behavior, T is time in classroom；When absorbed degree G is less than threshold value, the student number of the student is sent out
It is sent to teacher's terminal.
The intelligence based on Identification of Images according to the sixth aspect of the invention patrols class management system, wherein, it is described not to be absorbed in
Behavior includes operating handset, dozes off or whisper to each other.
The intelligence based on Identification of Images according to the seventh aspect of the invention patrols class management system, wherein, only in the people
After identification module judgement student attendance, the student terminal feeds back to course of giving lessons, and the feedback information is also
Including enquirement, thumb up or barrage.
The intelligence based on Identification of Images according to the eighth aspect of the invention patrols class management system, wherein, the audio frequency and video
The keyword extracted from the barrage is input in supporting vector machine model by module, so as to identify student in course
The interest level of appearance and the mood of attending class on understanding acceptance level, and the audio frequency and video module according to interest level and
The mood of attending class is to feedback score FkIt is modified, and utilizes revised feedback score FkxCalculated.
The intelligence based on Identification of Images according to the ninth aspect of the invention patrols class management system, wherein, the feelings of attending class
Thread includes the one or more in excited, cold and detached, puzzled, irritated, tired out or pleasure.
The intelligence based on Identification of Images according to the tenth aspect of the invention patrols class management system, and the feedback information includes
Timestamp.
The intelligence based on Identification of Images according to the eleventh aspect of the invention patrols class management system, the audio frequency and video module
Also calculate teachers and students interactive degree I, wherein I=α R+ β Pu/PV, R=(r-1)/N, R is behavior switching rate, and r is to be taught in the sampling period
The switching times of the words and deeds crawler behavior of teacher and the words and deeds crawler behavior of student, α, β are adjustable weight coefficient, described to patrol class management
Cloud Server is also divided based on teachers and students' interactive degree I to type of teaching, and evaluation is made to quality of instruction.
What foregoing summary was merely exemplary, and be not any limitation of the invention.Except described above
Outside embodiment, by reference to accompanying drawing and following detailed description, other embodiments also will be apparent.
Brief description of the drawings
The intelligence based on Identification of Images that Fig. 1 shows according to the embodiment of the present invention patrols the signal of class management system
Figure.
Embodiment
In the accompanying drawings, similar reference generally represents like, unless context has opposite explanation.Detailed
Specification, drawings and the claims described in illustrative embodiment be not restricted.In the essence without departing substantially from this paper
In the case of refreshing or scope, it is possible to use other embodiment, and other changes can be carried out.
As shown in figure 1, patrolling class management system the invention provides the intelligence based on Identification of Images, the intelligence patrols class management
System includes：Class management Cloud Server 101 is patrolled, the teaching for patrolling class management Cloud Server 101 for storing real-time recording is regarded
Frequently, and type of teaching and quality of instruction are analyzed according to the instructional video and makes evaluation；Teacher's terminal 201, it is described
Teacher's terminal 201 is used to start course recording process and open evaluation port；Student terminal 202, the student terminal 202 is used for
When teacher's terminal 201 opens the evaluation port, teachers' instruction is fed back, feedback information is generated；It is arranged at religion
At least one in indoor multiple audio-video capture devices 301, the multiple audio-video capture devices 301 is used for locating and tracking
And gather in the audio-video signal of teacher, the multiple audio-video capture devices 301 at least another be used for gather
The audio-video signal of class student；The audio frequency and video processing unit 401 in classroom is arranged at, the audio frequency and video processing unit 401 includes
Identification of Images module and audio frequency and video module, the Identification of Images module are absorbed in for recognizing the face-image of teacher and monitoring student
Degree；The audio frequency and video module is by the audio-video signal frequency division multiplexing received from the audio-video capture devices 301 and carries
The feedback information patrols class management cloud to obtain modulated data signal, and the modulated data signal is sent to described
Server 101.
In some embodiments, various words and deeds of the audio frequency and video module to teacher in the audio-video signal that receives are lived
Dynamic behavior calculates the weighted value U within a sampling period respectivelyiIf teacher lives in the presence of certain words and deeds within the sampling period
Dynamic behavior exceedes scheduled duration threshold value, then Ui=1, otherwise Ui=0, i are the natural number more than 1；Wherein, the audio frequency and video module
The various words and deeds crawler behaviors of audio-video signal middle school student to receiving calculate the weighted value within a sampling period respectively
VjIf within the sampling period there is certain words and deeds crawler behavior more than scheduled duration threshold value, V in studentj=1, otherwise Vj=
0, j is the natural number more than 1；Wherein, the audio frequency and video module calculates the teacher's behaviors saturation degree P in courseuAnd students ' behavior
Saturation degree Pv, wherein Pu=∑ Ui/ N, Pv=∑ Vj/ N, N are the sampling sum within the sampling period, ∑ UiFor in the course
UiSummation, ∑ VjFor the V in the coursejSummation；Teaching quality evaluation value D is calculated, wherein,
A, B, C and E are regulation coefficient, and the feedback information includes feedback score Fk, K is the natural number more than 1, and F is anti-
Present fraction FkAverage value, F=∑s Fk/ N, F1For first threshold, F2For Second Threshold；It is described to patrol class management cloud after End-of-Course
Server 101 is based on teacher's behaviors saturation degree Pu, students ' behavior saturation degree PvType of teaching is carried out with teaching quality evaluation value D
Divide, and evaluation is made to quality of instruction.
In some embodiments, the various words and deeds crawler behaviors of the teacher include：Teaching behavior, enquirement and answer are gone
For, writing on the blackboard behavior, multimedia is with behavior or makes an inspection tour behavior；Wherein, the various words and deeds crawler behaviors of the student include：Pay attention to the class
Behavior, answer exchange behavior, written note taking behavior or answer or the classroom activities against discipline with puing question to behavior, discussing.
In some embodiments, the type of teaching includes：Lecture leading type, exercise leading type, interaction leading type.
In some embodiments, the audio-video capture devices 301 obtain the image of student, the Identification of Images module
Go out from the image recognition of student and be not absorbed in behavior, the audio frequency and video module is entered to the time span for not being absorbed in behavior identified
Row statistics, and calculate the absorbed degree G=T of studentN/ T, TNNot to be absorbed in the total length of time of behavior, T is time in classroom；When
When being absorbed in degree G less than threshold value, the student number of the student is sent to teacher's terminal 201.Particularly, the audio frequency and video are obtained
Take the camera of device 301 to be arranged in front of classroom, set shooting grease head highness H scope as 2.5m~3m, its setting angle
Between+25 ° of arctan (H/L) -25 °~arctan (H/L), wherein L be the camera and most front-seat student level away from
From to ensure that the camera can collect the eyes of student face when student watches teacher attentively.In addition, teacher's terminal
201 can send notice to the student terminal 202 reminds early warning.
In some embodiments, the not absorbed behavior includes operating handset, dozes off or whisper to each other.
In some embodiments, only after the Identification of Images module judges student attendance, the student terminal 202
To giving lessons, course feeds back, and the feedback information also includes enquirement, thumb up or barrage.
In some embodiments, the keyword extracted from the barrage is input to support by the audio frequency and video module
In vector machine model, so as to identify student to the interest level of course content and on understanding the feelings of attending class of acceptance level
Thread, and the audio frequency and video module according to interest level and the mood of attending class to feedback score FkIt is modified, and utilizes
Revised feedback score FkxCalculated.
In some embodiments, the mood of attending class includes one in excited, cold and detached, puzzled, irritated, tired out or pleasure
Plant or a variety of.
In some embodiments, the feedback information includes timestamp.
In some embodiments, the audio frequency and video module also calculates teachers and students interactive degree I, wherein I=α R+ β Pu/PV, R=
(r-1)/N, R are behavior switching rate, and r is the words and deeds crawler behavior of teacher and the words and deeds crawler behavior of student in the sampling period
Switching times, α, β are adjustable weight coefficient, described to patrol class management Cloud Server 101 also based on teachers and students' interactive degree I to teaching
Type is divided, and evaluation is made to quality of instruction.
In some embodiments, the type of teaching is modified with comentropy O, comentropy O=∑s Milog2Pj
(MiFor event i probability), the words and deeds of the comentropy of the words and deeds crawler behavior of the teacher calculated and the student are lived
The comentropy of dynamic behavior is compared with predetermined upper limit threshold and lower threshold, judges whether the behavior of Faculty and Students meets
Predetermined classroom requires, to teacher's terminal 201 sending pin beyond upper limit threshold and/or less than the teacher's behaviors of lower threshold
To property remind, to beyond upper limit threshold and/or less than lower threshold students ' behavior to the student terminal 202 send specific aim
Remind；And timestamp node is set according to teacher's behaviors comentropy and on video, it is easy to video to be easy to quickly patrol class when reviewing.
Claims (10)
1. a kind of intelligence based on Identification of Images patrols class management system, the intelligence, which patrols class management system, to be included：
Class management Cloud Server is patrolled, it is described to patrol the instructional video that class management Cloud Server is used to store real-time recording, and according to institute
Instructional video is stated to analyze type of teaching and quality of instruction and make evaluation；
Teacher's terminal, teacher's terminal is used to start course recording process and open evaluation port；
Student terminal, the student terminal is used to, when evaluating port described in teacher's open-destination, carry out teachers' instruction
Feedback, generates feedback information；
It is fixed that at least one being arranged in multiple audio-video capture devices in classroom, the multiple audio-video capture devices is used for
Position tracks and gathers the audio-video signal of teacher, in the multiple audio-video capture devices at least another be used to gather
Attend class the audio-video signal of student；
The audio frequency and video processing unit in classroom is arranged at, the audio frequency and video processing unit includes Identification of Images module and audio frequency and video mould
Block, the Identification of Images module is used to recognize the face-image of teacher and monitors the absorbed degree of student；The audio frequency and video module will
The audio-video signal frequency division multiplexing that is received from the audio-video capture devices and to carry the feedback information modulated to obtain
Data signal, and by the modulated data signal send to it is described patrol class management Cloud Server.
2. the intelligence as claimed in claim 1 based on Identification of Images patrols class management system,
Wherein, the audio frequency and video module is calculated the various words and deeds crawler behaviors of teacher in the audio-video signal that receives respectively
Weighted value U in one sampling periodiIf within the sampling period there is certain words and deeds crawler behavior and exceed in advance regularly in teacher
Long threshold value, then Ui=1, otherwise Ui=0, i are the natural number more than 1；
Wherein, the various words and deeds crawler behaviors of audio-video signal middle school student of the audio frequency and video module to receiving are calculated respectively
Weighted value V in one sampling periodjIf within the sampling period there is certain words and deeds crawler behavior and exceed in advance regularly in student
Long threshold value, then Vj=1, otherwise Vj=0, j are the natural number more than 1；
Wherein, the audio frequency and video module calculates the teacher's behaviors saturation degree P in courseuWith students ' behavior saturation degree Pv, wherein Pu=
∑Ui/ N, Pv=∑ Vj/ N, N are the sampling sum within the sampling period, ∑ UiFor the U in the courseiSummation, ∑ VjFor
V in the coursejSummation；Teaching quality evaluation value D is calculated, wherein,
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A, B, C and E are regulation coefficient, and the feedback information includes feedback score Fk, K is the natural number more than 1, and F is feedback score
FkAverage value, F=∑s Fk/ N, F1For first threshold, F2For Second Threshold；
After End-of-Course, the class management Cloud Server that patrols is based on teacher's behaviors saturation degree Pu, students ' behavior saturation degree PvAnd teaching
Quality evaluation value D is divided to type of teaching, and evaluation is made to quality of instruction.
3. the intelligence as claimed in claim 2 based on Identification of Images patrols class management system,
Wherein, the various words and deeds crawler behaviors of the teacher include：Teaching behavior, enquirement and answer behavior, writing on the blackboard behavior, many matchmakers
Body is with behavior or makes an inspection tour behavior；
Wherein, the various words and deeds crawler behaviors of the student include：Pay attention to the class behavior, answer and enquirement behavior, discuss the behavior that exchanges,
Written note taking behavior or answer or the classroom activities against discipline.
4. the intelligence as claimed in claim 2 based on Identification of Images patrols class management system,
Wherein, the type of teaching includes：Lecture leading type, exercise leading type, interaction leading type.
5. the intelligence based on Identification of Images as described in any one of claim 1-4 patrols class management system,
Wherein, the audio-video capture devices obtain the image of student, and the Identification of Images module goes out from the image recognition of student
It is not absorbed in behavior, the audio frequency and video module is counted to the time span for not being absorbed in behavior identified, and calculates
Raw absorbed degree G=TN/ T, TNNot to be absorbed in the total length of time of behavior, T is time in classroom；When absorbed degree G is less than threshold value
When, the student number of the student is sent to teacher's terminal.
6. the intelligence as claimed in claim 5 based on Identification of Images patrols class management system,
Wherein, the not absorbed behavior includes operating handset, dozes off or whisper to each other.
7. the intelligence based on Identification of Images as described in any one of claim 1-4 patrols class management system,
Wherein, only after the Identification of Images module judges student attendance, the student terminal feeds back to course of giving lessons,
And the feedback information also includes enquirement, thumb up or barrage.
8. the intelligence as claimed in claim 7 based on Identification of Images patrols class management system,
Wherein, the keyword extracted from the barrage is input in supporting vector machine model by the audio frequency and video module, from
And identify student to the interest level of course content and on understanding the mood of attending class of acceptance level, and the audio frequency and video
Module is according to interest level and the mood of attending class to feedback score FkIt is modified, and utilizes revised feedback score Fkx
Calculated.
9. the intelligence as claimed in claim 8 based on Identification of Images patrols class management system,
Wherein, the mood of attending class includes the one or more in excited, cold and detached, puzzled, irritated, tired out or pleasure.
10. the intelligence based on Identification of Images as described in any one of claim 1-4 patrols class management system,
The feedback information includes timestamp.
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